{"id":"W4408436344","doi":"10.5194/egusphere-egu25-7405","title":"Adventures in (geo)science communication: mapping outreach practices into university classrooms","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adventure; Outreach; Computer science; Multimedia; Computer graphics (images); Sociology; Mathematics education; Psychology; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001994031,0.0001320673,0.000183767,0.0007182553,0.0009063873,0.0002062501,0.001785607,0.000241804,0.0006210351],"category_scores_gemma":[0.0006428364,0.0001493298,0.00008734751,0.00108096,0.0008435774,0.0003434732,0.0008833906,0.0006567957,0.0000173199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921057,"about_ca_system_score_gemma":0.00343504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2701891,"about_ca_topic_score_gemma":0.2220937,"domain_scores_codex":[0.9980668,0.0005967423,0.0002109512,0.0004363301,0.0004027083,0.0002864108],"domain_scores_gemma":[0.9981302,0.000360556,0.0004305957,0.0006576728,0.0002977221,0.0001232573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001749011,0.0003764411,0.4254658,0.0001341239,0.00004356342,0.000003239514,0.2072621,0.0001262193,0.000006863974,0.3426827,0.002958431,0.02092306],"study_design_scores_gemma":[0.00009678176,0.000003364367,0.09902325,0.0001078006,0.00001291075,1.135196e-7,0.2058927,0.00004422587,0.000002299104,0.006945894,0.687691,0.0001796462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05027751,0.0009332976,0.0001974932,0.03818436,0.00116093,0.0005050323,0.000006792714,0.0001376011,0.908597],"genre_scores_gemma":[0.9611591,0.002645478,0.004926914,0.000372667,0.00007662936,0.00000957166,0.00002777141,0.00000313258,0.0307788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108815,"threshold_uncertainty_score":0.7921011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701684445863817,"score_gpt":0.4183872226629279,"score_spread":0.3482187780765462,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}